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Appgen tool uses keyword rules to generate apps without LLMs

By PulseAugur Editorial · [1 sources] ·

A developer has created a tool called appgen that generates applications from sentences without using a language model. Instead, it relies on a hand-written keyword rule to identify key entities, such as nouns, which become table names and URL paths in the generated application. The effectiveness of this rule-based approach was tested against two corpora of project titles, achieving scores of 57/87 and 36/47 respectively. Further analysis indicated that adding specific words improved performance, while removing words from the existing stop and determiner lists did not yield further gains. AI

IMPACT This tool demonstrates an alternative to LLMs for specific generative tasks, highlighting the potential of rule-based systems.

RANK_REASON The item describes a specific tool and its functionality, not a general industry trend or release.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Appgen tool uses keyword rules to generate apps without LLMs

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3 / 100
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Seth Wheeler ·

    Words Fitted to a Rule's Own Mistakes Do Not Travel

    <p><code>appgen</code> is a tool of mine that turns a sentence into a running application with no language model in the generating path. Something has to read the sentence, and the thing that does it is a hand-written keyword rule that picks out the <strong>entity</strong>: the n…

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